Evidence map›Paper›PMID 38268002›Full record

ArticleTropical medicine and health2024

Community-based intervention for managing hypertension and diabetes in rural Bangladesh.

Yurie Kobashi, Syed Emdadul Haque, Kayako Sakisaka, Isamu Amir, Megumi Kaneko, Mahmuda Mutahara, Sanzida Mubassara, Abul Kashem, Masaharu Tsubokura

Open access · goldAbstract read
In one paragraph

Article in Tropical medicine and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Yurie KobashiDepartment of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima City, Fukushima, 960-1295, Japan. yurie-s@umin.ac.jp.ORCID http://orcid.org/0000-0002-3442-3779
Syed Emdadul HaqueUChicago Research Bangladesh, Dhaka, 1230, Bangladesh.
Kayako SakisakaFaculty of International Liberal Arts, Kaichi International University, Kashiwa-Shi, Chiba, Japan.
Isamu AmirDepartment of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima City, Fukushima, 960-1295, Japan.
Megumi KanekoHealth Equity Research Institute, Abiko City, Chiba, Japan.
Mahmuda MutaharaBridge of Community Development Foundation, Narail, Bangladesh.
Sanzida MubassaraDepartment of Botany, Jahangirnagar University, Savar Union, 1342, Bangladesh.
Abul KashemBridge of Community Development Foundation, Narail, Bangladesh.
Masaharu TsubokuraDepartment of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima City, Fukushima, 960-1295, Japan.
Fukushima Medical University · JPJahangirnagar University · BDKaichi International University · JPUniversity of Chicago Research Bangladesh · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApproximately 80% of non-communicable diseases (NCDs) have been reported in low- and middle-income countries (LMICs). However, studies on the usefulness of educational interventions run by non-healthcare workers in combating NCDs in resource-limited areas in rural parts of LMICs are limited. This study aimed to identify the effectiveness of a community-based simple educational program run by non-healthcare trained staff for several outcomes associated with NCDs in a resource-limited area.

methodsSix villages in the Narail district in Bangladesh were selected, two each in the first and second intervention and the control groups, in the Narail district in Bangladesh were selected. Pre- and post-intervention survey data were collected. The first intervention group received the "strong" educational intervention that included a checklist poster on the wall, phone call messages, personalized advice papers, seminar videos, and face-to-face seminars. The second intervention group received a "weak" intervention that included only a checklist poster on the wall in their house. The outcome was the proportion of NCDs and changes in systolic blood pressure and blood sugar level. Confidential fixed-effects logistic regression and multiple linear regression were performed to identify the effectiveness of the intervention.

resultsOverall, 600 participants completed the baseline survey and the follow-up survey. The mean systolic blood pressure reduced by 7.3 mm Hg (95% confidence interval [CI] 4.6-9.9) in the first intervention group, 1.9 mm Hg (95% CI - 0.5-4.2) in the second intervention group, and 4.7 mm Hg (95% CI 2.4-7.0) in the control group. Multiple linear regression analysis showed that the between-group differences in the decline in systolic blood pressure were significant for the first intervention versus control (p = 0.001), but not for the second intervention versus control (p = 0.21). The between-group differences in the reduction in blood glucose after the intervention, were not significant on multiple linear regression analysis.

conclusionsCommunity-based educational interventions for NCDs provided by non-healthcare staff improved the outcomes of hypertension and risk behaviors. Well-designed community-based educational interventions should be frequently implemented to reduce NCDs in rural areas of low- and middle-income countries. Trial registration UMIN Clinical Trials Registry (UMIN-CTR; UMIN000050171) retrospectively registered on January 29, 2023.

Indexed as

BangladeshCommunity-based participatory researchCommunity surveyGlobal healthNon-communicable diseases

Identifiers

PMID38268002
PMCPMC10807096
OpenAlexW4391170625

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.